Package | Description |
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messif.utility |
Various utilities that does not fit anywhere else including
a main class for executing batch files.
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Modifier and Type | Method and Description |
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static float |
SilhouetteIndex.compute(DistanceMatrix distances,
short[] clusterIds,
int clusterCnt)
Compute silhouette index.
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static void |
RandIndex.computeUnsupervisedAdjustedAndOriginalRandIndex(DistanceMatrix distances,
short[] clusterIds,
int clusterCnt,
short[] randomClusterIds,
int randomClusterCnt,
float[] thresholds)
Compute Unsupervised Adjusted Rand index.
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static void |
RandIndex.computeUnsupervisedAdjustedAndOriginalRandIndexOnSoftAssignement(DistanceMatrix distances,
short[][] clusterIds,
int clusterCnt,
short[][] randomClusterIds,
int randomClusterCnt,
float[] thresholds) |
static void |
RandIndex.computeUnsupervisedAdjustedAndOriginalRandIndexOnVoting(DistanceMatrix distances,
short[][] clusterIds,
short[] clusterCnt,
short[][] randomClusterIds,
short[] randomClusterCnt,
int[] votingParams,
float[] thresholds) |
static UnsupervisedBinaryClassification |
RandIndex.computeUnsupervisedAndRandomBinaryClassification(DistanceMatrix distances,
short[][] clusterIds,
int clusterCnt,
short[][] clusterIdsRand,
int clusterCntRand,
UnsupervisedBinaryClassification cf,
UnsupervisedBinaryClassification cfRand)
Binary classification on soft-assigned clustering
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static VotingSchemaSetsUnsupervisedBinaryClassification |
RandIndex.computeUnsupervisedAndRandomBinaryClassification(DistanceMatrix distances,
short[][] clusterIds,
short[] clusterCnts,
short[][] clusterIdsRand,
short[] clusterCntRands,
VotingSchemaSetsUnsupervisedBinaryClassification cf,
VotingSchemaSetsUnsupervisedBinaryClassification cfRand) |
static UnsupervisedBinaryClassification |
RandIndex.computeUnsupervisedAndRandomBinaryClassification(DistanceMatrix distances,
short[] clusterIds,
int clusterCnt,
short[] clusterIdsRand,
int clusterCntRand,
UnsupervisedBinaryClassification cf,
UnsupervisedBinaryClassification cfRand) |
static UnsupervisedBinaryClassification |
RandIndex.computeUnsupervisedBinaryClassification(DistanceMatrix distances,
short[] clusterIds,
int clusterCnt,
float[] thresholds)
TODO: Update docs:
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